You own the piece of the AI-risk program that has to pass audit. EU AI Act enforcement begins August 2, 2026; penalties reach €35M or 7% of global turnover. Teleox.ai ships LoRAs that make the model structurally incapable of producing off-intent outputs — prompt injection becomes a shut door, not a filter. Every output carries a per-output cosine score against a frozen reference and a human-readable rejection reason. Audit trail is a byproduct of the architecture, not a bolt-on deliverable. Deploys against your existing model; we do not need your training data to begin.
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Constellation Guard re-embeds every model output through the 9+ frozen embedder substrate (scaling to 50+) and checks against regulatory boundaries before delivery. Non-compliant outputs are rejected and regenerated automatically — before they reach the customer, the trader, or the regulator. This is runtime enforcement, not alerting.
Every AI-generated trade recommendation, customer communication, risk assessment, and compliance disclosure is verified against the regulatory constellation. The model is architecturally incapable of off-boundary outputs. Human-in-the-loop becomes optional — not because you removed oversight, but because the model cannot produce non-compliant content.
Every accepted output carries a measured cosine-similarity signature, timestamped provenance chain, and per-embedder breakdown. Regulators get a forensic record showing exactly why each output was accepted — with a mathematical proof of boundary compliance, not a content-filter log.
Deployed on-premise, behind your firewall. Customer data — trade execution logs, PII, MNPI, regulatory filings — never exits the institution's environment. Air-gapped deployment for the most sensitive workflows. Built in Rust for the performance requirements of real-time trading infrastructure.
| Regulation | Penalty | Teleox Compliance Path |
|---|---|---|
| EU AI Act (Aug 2, 2026) | €35M or 7% global turnover | Constellation Guard provides conformity-assessable proof of boundary compliance. Mathematical, not heuristic. |
| SEC / FINRA AI Guidance | Enforcement actions + disgorgement | Per-output provenance chain with cosine-similarity scores. Every AI-generated disclosure is auditable. |
| OCC Model Risk Management | Consent orders + activity restrictions | Deterministic outputs satisfy SR 11-7 model validation requirements. Outputs are bounded, measurable, repeatable. |
| GDPR Art. 22 (Automated Decisions) | €20M or 4% global turnover | Full explainability via 13-embedder breakdown. Every automated decision has a measurable geometric justification. |
| DORA (Digital Operational Resilience) | Up to 1% of avg daily global turnover | On-prem deployment satisfies ICT third-party risk management. No cloud dependency. No data concentration risk. |
| Dimension | Traditional GRC | Teleox Constellation Guard |
|---|---|---|
| Control mechanism | Alert dashboards + manual review | Runtime geometric enforcement |
| Output guarantee | None — probabilistic filtering | Mathematical boundary — deterministic |
| Prompt injection | Rule-based content filters | Geometrically impossible |
| Audit trail | Log-based, reconstructed | SHA-256 hash-chained, per-output cosine score |
| Deployment | Cloud SaaS | On-prem / air-gapped (your datacenter) |
| Response time | Post-incident alerting | Pre-output enforcement (2.5s cycle) |
| Regulator proof | "We have a filter" | "The output is mathematically bounded" |
AI-generated client communications pass through regulatory constellation before delivery. Tone, disclosure content, and suitability language are verified against your compliance policy — represented as geometry, not rules.
Every AI-assisted trade recommendation is bounded by the appropriate regulatory constellation. Suitability, risk disclosure, and product complexity assessments are deterministic properties of the output.
Run the 13-embedder decomposition on transaction narrative and customer communication corpora. Cross-embedder anomaly detection reveals suspicious patterns single-model analysis misses — the same blind-spot discovery that found Shakespeare training-data pathologies.
AI-generated regulatory filings (10-K/Q, CCAR, stress tests) pass through compliance constellations that enforce disclosure standards. Every filing carries a provenance-chained audit trail.
Constellation-based identity verification scores any voice/video against a reference centroid. $3.5B in US deepfake fraud losses (2025, FBI) — Teleox verifies, not detects.
100x+ richer labeled signal from existing market data via multi-embedder meaning extraction. Independent views per datum reveal cross-dimensional risk correlations invisible to single-model analysis.
“August 2, 2026: EU AI Act high-risk enforcement begins. Your AI either has conformity-assessable proof of boundary compliance, or it doesn't. Constellation Guard is the proof.”
NDA AVAILABLE BEFORE FIRST CALL · ZERO COST · ZERO OBLIGATION